Juan Orozco

To get acquainted with our new Matrix API within the Gurobi-Python interface, please refer to the functional code examples matrix1.py and matrix2.py.

Dear Sam, The unexpected behavior you observed is the result of disabling presolve without providing a reasonable bound to x (in your example 0<=x<=+inf). Gurobi outputs good approximations for ln(...

Hi, Sam! We created a support ticket to investigate further. Thanks for bringing this to our attention.

Did you load the package guobipy into your script? Also, if you did import the package using the standard import gurobipy as gp, make sure you use gp.abs_() instead of just abs_(). To illustrate ho...

Using Gurobi for this would be an overkill, as this can be answered in constant time (O(1)). Recall that the sum of the first n positive integers (starting from 1) is given by n*(n+1)/2. Let val be...

In addition to the real-valued variable flow_variable, you can define the integer-valued variable trucks (preferably with an upper bound based on the fleet). Let capacity=1500 be the capacity of a ...

Please find below the object attributes you need to query: var.x: Value in the current solution. var.RC: Reduced cost. var.obj: Linear objective coefficient. var.SAObjUp: Objective coefficient...

The Assignment Problem typically defines the Objective Function using one of the following concepts: Minimize time Minimize cost Maximize revenue Maximize total matching score, where the matching ...

The safest way to change model object attributes is to reference such objects by name. Here's a Python script that shows how to do this (notice that there is no need to call model.update(), as mode...

Hi Rohan, If I understood your question correctly, you want to: 1. train a binary classifier. 2. control either the accuracy on the positive class (a.k.a. sensitivity), or the accuracy on the negat...